Most PLC programming consists of input contacts and output coils, which influence real-world outcomes through logical series/parallel combinations. —————————————————— Although each model of PLC seems to have its unique programming standards, there is indeed an international standard that most PLC manufacturers at least attempt to follow. This is the IEC 61131-3 standard, which will be … Read more
This thing can be quite confusing for beginners; just looking at that pile of PLC models can be overwhelming. I have been in this industry for nearly 20 years and have seen too many novices struggling with books only to arrive on-site completely lost. Let’s get to the point: when selecting a PLC, don’t just … Read more
Hey, recently I’ve been tinkering with something fun — running machine learning on those tiny IoT devices! Seeing the number “1KB”, many people shake their heads: how is that possible? Indeed, a high-definition photo takes several MB, so where’s the magic that allows AI to fit into such a tiny space? Actually, TinyML is such … Read more
In recent years, artificial intelligence technology has developed rapidly, but its powerful computing capabilities often rely on cloud servers. This poses a significant challenge for resource-constrained embedded devices. However, the rise of TinyML (Tiny Machine Learning) technology brings new hope: enabling resource-limited microcontrollers to run deep learning models! This article will take you into the … Read more
In the field of large language models, the pre-training + fine-tuning paradigm has become an important foundation for deploying various downstream applications. Within this framework, the use of low-rank adaptation (LoRA) methods for efficient fine-tuning of large model parameters (PEFT) has resulted in a large number of reusable LoRA adapters tailored for specific tasks. However, … Read more
In the global wave of digital transformation, edge AI is becoming the core engine for enterprises to break through efficiency bottlenecks. Facing Gartner’s prediction that “by 2025, half of enterprise data will be processed at the edge,” Intel is leveraging an “open ecosystem + full-stack solutions” strategy to launch three innovative products: AI edge systems, … Read more
In the late night at the substation, cameras silently rotate. In the past, these devices could only record footage, waiting for manual inspections; now, with the help of edge AI video recognition technology, they can capture hazards such as equipment overheating, insulator breakage, and foreign object intrusion in real-time, issuing alerts within milliseconds. The power … Read more
The Power Game of Standard Setting Instruction Set Competition： RISC-V Vector Extension：The Andes AX45MPV core achieves INT8 matrix acceleration, outperforming the ARM Cortex-M55 by 40%, with licensing costs only 1/5. ARM Confidential Computing：Introduces Realm Management Extension (RME) to build hardware-isolated secure enclaves, fully adopted by Microsoft Azure Sphere. Middleware Undercover War： Apache TVM Unity：Supports direct … Read more
The significant performance enhancement of industrial robots and smart devices will fundamentally change the way we use artificial intelligence at the edge, as well as our understanding of cloud and data centers. Image Source: Gorodenkoff / Shutterstock Humanoid robots, smart devices, and autonomous driving are often considered lucrative business cases in the edge domain. However, … Read more
Edge AI achieves a closed loop of data “generation-processing-decision” by bringing intelligent computing down to terminal devices, while lightweight technologies become the core means to break through the bottlenecks of computing power, power consumption, and latency. This article systematically analyzes three major technical paths: model compression, hardware acceleration, and software-hardware collaboration, validating the effectiveness of … Read more